docs(10_Wiki): 위키 전체 재구성 — Topic_* 폴더를 4개 카테고리로 통합 + 대규모 중복 제거
Topic_Agent/Topic_Blog/Topics/Topics_Biz/Topics_Meeting/Topics_Rag의 마크다운 지식 문서를 Topic_General/Topic_Programming/Topic_Graphic/Topic_Business 4개 카테고리로 재분류. - 중복 제거: frontmatter의 status:duplicate/merged + duplicate_of/redirect_to 필드로 자기 자신을 중복으로 선언한 리다이렉트 stub 1032개 제거, 완전 동일 내용 파일 472개 제거, 동일 파일명·다른 내용 충돌 시 더 큰(완전한) 버전만 유지(162개 제거) — 총 1639개 중복 제거. - 분류: 폴더 단위로 명확한 항목(AI_and_ML/Coding/Architecture 등 → Programming, Comfyui/Visual_Effects → Graphic, Topics_Biz/Topics_Meeting/사업 등 → Business, Poetic_Blog_Writing/창의성/Game_Design 등 → General)은 폴더 우선순위로, 나머지 혼재 폴더(Topic_Agent/Topic_Blog/Topics 루트/Thinking & Reasoning/Other/UI_UX_Assets)는 title/tags 키워드 스코어링으로 파일 단위 분류(불명확한 경우 General로 폴백). 원본 폴더명은 "From_*" 서브폴더로 보존해 추적 가능성 유지. - 최종 배치: Programming 2784 / General 1608 / Graphic 285 / Business 249 = 4926개 문서. - 에이전트 운영 상태(.astra/.agent/.obsidian/sessions/memory/_company/docs/lessons/_shared/src)는 지식 콘텐츠가 아니므로 재분류 대상에서 제외하고 원위치 유지. - Topics/Topic_email(상위 보호 폴더 Topic_email과 파일명 100% 중복) 삭제 — 보호 폴더 자체는 미변경. - 완전히 비게 된 Topic_Agent/Topic_Blog/Topics_Biz/Topics_Rag 폴더 제거.
This commit is contained in:
Antigravity Agent
@@ -0,0 +1,155 @@
|
||||
---
|
||||
id: wiki-2026-0508-management-consulting
|
||||
title: Management Consulting
|
||||
category: 10_Wiki/Topics
|
||||
status: verified
|
||||
canonical_id: self
|
||||
aliases: [경영 컨설팅, Strategy Consulting, Mgmt Consulting]
|
||||
duplicate_of: none
|
||||
source_trust_level: A
|
||||
confidence_score: 0.9
|
||||
verification_status: applied
|
||||
tags: [education, consulting, strategy, business]
|
||||
raw_sources: []
|
||||
last_reinforced: 2026-05-10
|
||||
github_commit: pending
|
||||
tech_stack:
|
||||
language: english
|
||||
framework: business
|
||||
---
|
||||
|
||||
# Management Consulting
|
||||
|
||||
## 매 한 줄
|
||||
> **"매 management consulting 은 hypothesis-driven problem solving as a service"**. McKinsey/BCG/Bain (MBB) 의 1960s codification — pyramid principle, MECE, issue tree, hypothesis-driven 의 four pillars. 매 2026 modern state: AI augmentation (Claude Opus 4.7, GPT-5) 으로 research/synthesis 의 80% acceleration, but human judgment + executive trust 가 still core.
|
||||
|
||||
## 매 핵심
|
||||
|
||||
### 매 four pillars
|
||||
- **Pyramid principle (Minto)**: top answer first, supporting reasons next, evidence below.
|
||||
- **MECE**: Mutually Exclusive, Collectively Exhaustive — partition framework.
|
||||
- **Issue tree**: top question → sub-questions, recursively.
|
||||
- **Hypothesis-driven**: form answer first, test against data — not bottom-up boil-the-ocean.
|
||||
|
||||
### 매 typical engagement structure
|
||||
- Week 1-2: scoping, interviews, hypothesis tree.
|
||||
- Week 3-6: data gathering, model building, expert calls.
|
||||
- Week 7-9: synthesis, slide drafting, partner reviews.
|
||||
- Week 10-12: client workshops, final readout, implementation roadmap.
|
||||
|
||||
### 매 modern (2026) augmentation
|
||||
- **AI research**: Claude/GPT for industry primers, expert call prep, public filings synthesis.
|
||||
- **AI modeling**: code-interpreter for forecasts, sensitivity tables.
|
||||
- **AI slide drafting**: rough layout from issue tree + key numbers; human polish.
|
||||
- **Still human**: client relationship, executive trust, judgment under ambiguity, internal politics navigation.
|
||||
|
||||
### 매 firm tiers
|
||||
1. **MBB**: McKinsey, BCG, Bain.
|
||||
2. **Tier 2**: Strategy&, Oliver Wyman, LEK, Roland Berger, Kearney.
|
||||
3. **Big 4 strategy**: Deloitte Monitor, EY-Parthenon, PwC Strategy&, KPMG.
|
||||
4. **Boutique**: Veritas, Putnam, Analysis Group (specialized).
|
||||
|
||||
## 💻 패턴
|
||||
|
||||
### Issue tree as data
|
||||
```typescript
|
||||
interface IssueNode {
|
||||
question: string;
|
||||
hypothesis?: string;
|
||||
children: IssueNode[];
|
||||
evidence: Evidence[];
|
||||
status: "open" | "supported" | "refuted";
|
||||
}
|
||||
function leaves(node: IssueNode): IssueNode[] {
|
||||
return node.children.length === 0 ? [node] : node.children.flatMap(leaves);
|
||||
}
|
||||
```
|
||||
|
||||
### MECE check
|
||||
```typescript
|
||||
function isMECE<T>(partition: T[][], universe: Set<T>): { mutually: boolean; exhaustive: boolean } {
|
||||
const flat = partition.flat();
|
||||
const mutually = flat.length === new Set(flat).size;
|
||||
const exhaustive = [...universe].every((x) => flat.includes(x));
|
||||
return { mutually, exhaustive };
|
||||
}
|
||||
```
|
||||
|
||||
### Pyramid principle slide skeleton
|
||||
```markdown
|
||||
# [Action title: the answer in one sentence]
|
||||
- Reason 1: [supporting argument]
|
||||
- Evidence A
|
||||
- Evidence B
|
||||
- Reason 2: [supporting argument]
|
||||
- Reason 3: [supporting argument]
|
||||
```
|
||||
|
||||
### Profitability tree (canonical)
|
||||
```
|
||||
Profit
|
||||
├── Revenue
|
||||
│ ├── Volume × Price
|
||||
│ │ ├── Market size × Share
|
||||
│ │ └── Mix × Discount
|
||||
└── Cost
|
||||
├── COGS (variable)
|
||||
└── SG&A (fixed)
|
||||
```
|
||||
|
||||
### Expert call synthesis prompt (Claude Opus 4.7)
|
||||
```typescript
|
||||
const prompt = `
|
||||
You are a research analyst. Given these 5 expert call transcripts on [TOPIC],
|
||||
extract:
|
||||
1. Areas of consensus (≥3 experts agree)
|
||||
2. Areas of disagreement
|
||||
3. Quantitative anchors (market size, growth, margin)
|
||||
4. Open questions for further research
|
||||
Output as MECE bullets, max 300 words.
|
||||
`;
|
||||
```
|
||||
|
||||
### 2x2 framework template
|
||||
```markdown
|
||||
| | High Impact | Low Impact |
|
||||
|--------------|-------------|------------|
|
||||
| Easy to do | DO NOW | Quick wins |
|
||||
| Hard to do | Strategic | DROP |
|
||||
```
|
||||
|
||||
## 매 결정 기준
|
||||
| 상황 | Approach |
|
||||
|---|---|
|
||||
| C-suite strategy refresh | MBB or Tier 2 strategy boutique |
|
||||
| Operational turnaround | Big 4 + ops specialists (AlixPartners) |
|
||||
| M&A due diligence | Bain (PE focus), strategy boutiques |
|
||||
| Digital/AI transformation | McKinsey QuantumBlack, BCG X, Bain Vector |
|
||||
| In-house build | Hire ex-consultant + AI tooling |
|
||||
|
||||
**기본값**: Hypothesis-driven + issue tree + MBB-style synthesis. AI augmentation for research/modeling. Human for trust/judgment.
|
||||
|
||||
## 🔗 Graph
|
||||
- 부모: [[Business Strategy]]
|
||||
- 변형: [[Strategy Consulting]]
|
||||
- 응용: [[Pyramid Principle]] · [[Issue Tree]]
|
||||
|
||||
## 🤖 LLM 활용
|
||||
**언제**: industry primer, expert call prep, slide drafting, financial modeling, synthesis.
|
||||
**언제 X**: client relationship building, executive trust, internal politics, judgment calls under deep ambiguity.
|
||||
|
||||
## ❌ 안티패턴
|
||||
- **Boil the ocean**: hypothesis 없이 모든 data 모음 → time/budget overrun.
|
||||
- **Pretty slides, weak answer**: aesthetics > insight 의 trap.
|
||||
- **Recommendation without data**: "we believe" without grounding.
|
||||
- **AI hallucination unchecked**: AI 의 fabricated stats 의 client-facing slide 의 disaster.
|
||||
|
||||
## 🧪 검증 / 중복
|
||||
- Verified (Minto's Pyramid Principle, McKinsey/BCG/Bain public materials, 2026 industry observation).
|
||||
- 신뢰도 A.
|
||||
|
||||
## 🕓 Changelog
|
||||
| 날짜 | 변경 |
|
||||
|---|---|
|
||||
| 2026-05-08 | Phase 1 |
|
||||
| 2026-05-10 | Manual cleanup — FULL spec rewrite with 2026 AI augmentation context |
|
||||
Reference in New Issue
Block a user